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Linking Cellular and Mechanical Processes in Articular Cartilage Lesion Formation: A Mathematical Model

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, October 2016
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Title
Linking Cellular and Mechanical Processes in Articular Cartilage Lesion Formation: A Mathematical Model
Published in
Frontiers in Bioengineering and Biotechnology, October 2016
DOI 10.3389/fbioe.2016.00080
Pubmed ID
Authors

Georgi I. Kapitanov, Xiayi Wang, Bruce P. Ayati, Marc J. Brouillette, James A. Martin

Abstract

Post-traumatic osteoarthritis affects almost 20% of the adult US population. An injurious impact applies a significant amount of physical stress on articular cartilage and can initiate a cascade of biochemical reactions that can lead to the development of osteoarthritis. In our effort to understand the underlying biochemical mechanisms of this debilitating disease, we have constructed a multiscale mathematical model of the process with three components: cellular, chemical, and mechanical. The cellular component describes the different chondrocyte states according to the chemicals these cells release. The chemical component models the change in concentrations of those chemicals. The mechanical component contains a simulation of a blunt impact applied onto a cartilage explant and the resulting strains that initiate the biochemical processes. The scales are modeled through a system of partial-differential equations and solved numerically. The results of the model qualitatively capture the results of laboratory experiments of drop-tower impacts on cartilage explants. The model creates a framework for incorporating explicit mechanics, simulated by finite element analysis, into a theoretical biology framework. The effort is a step toward a complete virtual platform for modeling the development of post-traumatic osteoarthritis, which will be used to inform biomedical researchers on possible non-invasive strategies for mitigating the disease.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 9%
Unknown 29 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 31%
Student > Master 6 19%
Researcher 4 13%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 3 9%
Unknown 5 16%
Readers by discipline Count As %
Engineering 11 34%
Agricultural and Biological Sciences 3 9%
Physics and Astronomy 2 6%
Medicine and Dentistry 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Other 3 9%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2016.
All research outputs
#20,667,544
of 25,385,509 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,059
of 8,507 outputs
Outputs of similar age
#245,333
of 318,676 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#15
of 23 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,507 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 318,676 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.